An Adversarial Attack on ML-Based IoT Malware Detection Using Binary Diversification Techniques by Maina Bernard Mwangi, Shin-Ming Cheng

“…Using explainable AI (XAI), we transfer the attack to four structural target detectors, achieving evasion rates of up to 100% on certain detectors, with an average binary size increase of just 8.35%. …”
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Triplet Spatial Reconstruction Attention-Based Lightweight Ship Component Detection for Intelligent Manufacturing by Bocheng Feng, Zhenqiu Yao, Chuanpu Feng

“…Unlike existing attention mechanisms that focus on either spatial reconstruction or channel attention independently, the proposed TSA integrates triplet parallel processing with spatial feature separation–reconstruction techniques to achieve enhanced target feature representation while significantly reducing parameter count and computational overhead. …”
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Low-Frequency Sound Absorption in Air Pipelines and Water-Filled Pipelines Based on Metamaterials by Botao Liu, Zigeng Liu, Ang Li, Bo Zheng, Shengchun Liu

“…Due to the significant impedance mismatch between water and air, two types of pipeline silencers designed for the same target frequency with different filling materials often have significantly different thickness. …”
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Optimizing Orchard Planting Efficiency with a GIS-Integrated Autonomous Soil-Drilling Robot by Osman Eceoğlu, İlker Ünal

“…The agricultural mobile robot is a four=wheeled nonholonomic robot with differential steering and forwarding capability to stable target positions. The designed mobile robot can be used in fully autonomous, partially autonomous, or fully manual modes. …”
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An improved EAE-DETR model for defect detection of server motherboard by Jian Chi, Mingke Zhang, Puhon Zhang, Guowang Niu, Zhihao Zheng

“…Abstract This study addresses the challenges of missed and false detections in server motherboard defect identification, which arise from factors such as small target size, positional rotation deviations, and uneven scale distribution. …”
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A Multi-Granularity Features Representation and Dimensionality Reduction Network for Website Fingerprinting by Yaojun Ding, Bingxuan Hu

“…Website fingerprinting (WF) refers to the identification of target websites accessed by users in anonymous communication scenarios, playing a critical role in cybercrime investigation and forensics. …”
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A novel explainable deep learning framework for reconstructing South Asian palaeomonsoons by K. M. R. Hunt, K. M. R. Hunt, S. P. Harrison

“…The CNNs, designed to account for spatial relationships in both the predictor and target, demonstrate higher skill in reconstructing rainfall patterns and produce robust spatiotemporal reconstructions. …”
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Species-Specific Allometric Equations, Biomass Expansion Factor, and Wood Density of Native Tree Species in the Dry Afromontane Forest of Ethiopia by Dereje Egeta, Mesele Negash, Mehari Alebachew, Abeje Eshete, Sinke Mulugeta, Tamiru Lemi

“…However, few allometric equations are present to determine its contribution to carbon reduction. The target of the study was to develop species-specific allometric equations and establish a database for biomass expansion factor and wood density for five tree species grown in the dry Afromontane forest of Ethiopia. …”
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An Enhanced Bio-inspired GWO–DE Technique for Efficient Feature Selection in the EEG-RSVP Paradigm by S. Abinayaa, S. S. Sridhar

“…Abstract The inherent noise and high dimensionality of EEG signal make it more difficult to accomplish fast and accurate classification, which is particularly challenging in rapid serial visual presentations (RSVP) target recognition tasks based on EEG. Conventional feature selection approaches have difficulty in reducing dimensions and keeping a good classification performance at the same time. …”
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Main principles of the development of the life quality evaluation methods in the case of vitreoretinal pathology by I. G. Ovechkin, A. V. Malyshev, G. Yu. Karapetov, T. A. Avanesova, N. I. Ovechkin

“…The first stage is detection of target group, collection data of diseases, choosing the key features and principles of valuation developed questionnaire. …”
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Sentence Recognition in the Presence of Competing Speech Messages Presented in Audiometric Booths with Reverberation Times of 0.4 and 0.6 Seconds by Kim S. ABOUCHACRA, Janet KOEHNKE, Joan BESING, Tomasz LETOWSKI

“…Separate groups of participants listened to target speech sentences presented simultaneously with 0-to-3 competing sentences through four spatially-separated loudspeakers in two sound field test rooms having RT = 0:6 sec (Site 1: N = 16) and RT = 0:4 sec (Site 2: N = 12). …”
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Adaptive Bi-Directional RRT Algorithm for Three-Dimensional Path Planning of Unmanned Aerial Vehicles in Complex Environments by Nan Li, Sang Ik Han

“…This adaptive approach reduces the randomness in sampling, improves the target-oriented nature of the search, and consequently enhances overall search efficiency. …”
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Lightweight YOLO models for object detection based on low-rank decomposition by LIN Delü, LIU Chang, CHEN Qi, ZENG Yang, HE Kun

“…Subsequently, a new convolution sequence was obtained by performing the Tucker decomposition to the convolutional layer of the target structure. Lastly, a new convolution sequence was fused to replace the original convolutional layer. …”
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Diurnal variation in urodynamics of rat. by Gerald M Herrera, Andrea L Meredith

“…Furthermore, since it has generally been assumed that the daily hormonal regulation of renal function is a major driver of the circadian rhythm in urination, and few studies have addressed the involvement of the lower urinary tract, these results establish the bladder itself as a target for circadian regulation.…”
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Stenting and cell technologies in the treatment of atherosclerotic renovascular hypertension Part 1. Effectiveness and safety of renal artery stenting in ischemic kidney disease by A. N. Kharlamov, Ya. L. Gabinsky, M. S. Freydlina, E. K. Bos, T. A. Naydanova, S. D. Chernyshev, B. V. Fadin

“…Secondary end-points included: restenosis incidence; glomerular filtration rate (GFR); effective renal plasma flow (ERPF); creatinine level and microalbuminuria (MAU); quality of life (QoL); renal biopsy and immuno-hystochemical assay data; renal vessel calcification; cerebral metabolism level.Results. RAS resulted in average BP decrease from 181/107 to 142/93 mm Hg; after 6 weeks, no patient achieved target BP levels. …”
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Determinants of the use of physiotherapy services among individuals with Parkinson's disease living in Brazil by Fátima Rodrigues-de-Paula, Raquel de Carvalho Lana, Larissa Karlla Rodrigues Lopes, Francisco Cardoso, Ana Raquel Rodrigues Lindquist, Maria Elisa Pimentel Piemonte, Clynton Lourenço Correa, Vera Lúcia Israel, Felipe Mendes, Lidiane Oliveira Lima

“…Results: The 479 individuals had an average age of 65.2 ± 11.0 years, 88% were in the HY I-III stages and 43.4% were under physiotherapy treatment. …”
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The effectiveness of various computer-based interventions for patients with chronic pain or functional somatic syndromes: A systematic review and meta-analysis. by Miel A P Vugts, Margot C W Joosen, Jessica E van der Geer, Aglaia M E E Zedlitz, Hubertus J M Vrijhoef

“…Computer-based interventions target improvement of physical and emotional functioning in patients with chronic pain and functional somatic syndromes. …”
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Application of Optimized Convolution Neural Network Model in Mural Segmentation by Zhiqiang Chen, Leelavathi Rajamanickam, Xiaodong Tian, Jianfang Cao

“…To address the problems of blurred target boundaries and inefficient image segmentation in ancient mural image segmentation, a multi-classification image segmentation model MC-DM (Multi-class DeeplabV3+ MobileNetV2) that fuses lightweight convolutional neural networks is proposed. …”
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Development and validation of an analytical method for detecting chlorantraniliprole residues in fresh tea leaves by Tengfei Liu, Minghui Dong, Fengjie Zhou, Daifeng Yang, Xueming Zhang

“…The optimal mixture of MWCNTs and primary secondary amine (PSA) was based on the distribution of the target analyte recovery and on the clean-up efficiency; while matrix-matched calibration was recommended to combat the matrix effect. …”
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LiDAR-based edge extraction method for underground belt conveyors by HUANG Chenxuan, CHANG Jian, WANG Lei

“…The belt conveyor is one of the inspection targets of the inspection robot in the unstructured belt roadway of underground coal mines. …”
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